Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "29"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 29 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 29, Node N01:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 1.08% -0.907040 -0.915425 -0.599014 -0.300694 -1.634466 -1.106308 -1.248370 -0.484712 0.8412 0.8399 0.2342 2.857123 2.780193
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 4.28% -1.042309 -0.687416 -0.568275 -0.383090 -1.220098 -0.597936 -0.873984 0.831640 0.7734 0.7540 0.3208 1.957705 1.740431
2459850 digital_ok 0.00% 0.00% 0.00% 0.58% 18.02% 0.00% -1.472619 -1.166606 -0.828184 -0.469056 -1.172327 -0.859490 -0.448487 1.213943 0.7510 0.7555 0.3439 1.839424 1.577690
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% -1.412521 -1.382738 -0.248886 0.595399 -0.874043 -1.130891 -0.439635 0.410427 0.7510 0.7485 0.3515 1.536675 1.461955
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 30.15% 0.50% -1.341214 -0.686680 0.366947 0.438232 -0.483273 -0.887610 -0.458959 1.464079 0.7322 0.7518 0.3692 1.543125 1.416276
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.00% -0.972473 -0.697674 0.403197 0.497172 -1.041920 -1.083069 -0.670803 0.686894 0.7332 0.6886 0.4228 1.608943 1.521978
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% -1.340245 -1.112266 -0.028908 0.517005 -0.511786 -0.662527 -0.593781 1.396740 0.8587 0.6930 0.4706 1.699104 1.596733
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 97.79% 2.21% -0.690131 -0.860710 0.802848 1.947864 -0.998521 -1.251909 -0.821145 -0.159938 0.7510 0.7619 0.3553 0.000000 0.000000
2459844 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.142008 -0.171291 2.183905 2.915808 1.160371 -0.378829 -0.000174 -1.276890 0.0280 0.0251 0.0017 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 15.22% 0.00% -1.907807 -0.817807 -0.676839 1.348406 -1.115627 -0.507277 -0.805076 1.034000 0.7568 0.7602 0.3716 1.915467 1.722328
2459842 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.028568 -0.063971 -0.228702 -0.684512 0.102470 1.092477 -0.005085 1.407028 0.7566 0.6580 0.2710 1.971865 1.820471
2459841 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.669743 2.689893 0.611140 2.292778 -0.326158 1.145428 -0.032812 -0.679071 0.0276 0.0253 0.0017 nan nan
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.139807 1.126279 -1.946161 -2.718100 0.570628 -0.132843 0.130120 -1.173133 0.0263 0.0239 0.0016 nan nan
2459839 digital_ok 0.00% - - - - - -0.041481 0.053239 0.493605 0.042784 -1.092537 -1.044751 -1.584124 -1.131519 nan nan nan nan nan
2459838 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.148753 -0.897771 -0.237330 -0.273401 -0.880526 -0.520182 -0.510224 0.078979 0.7420 0.6785 0.4170 2.074913 2.031927
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0366 0.0414 0.0013 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.395066 -0.465600 0.090351 -1.067630 2.126154 1.520710 0.194102 0.000775 0.0357 0.0392 0.0005 nan nan
2459833 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.302187 -0.530946 -1.092007 -0.726958 -0.087718 0.056241 -0.496492 -0.004112 0.0338 0.0333 0.0023 nan nan
2459832 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.203120 0.267748 0.882457 0.254599 -0.718225 -1.208603 -0.883601 -0.820611 0.0417 0.0432 0.0036 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.446546 -0.414019 -0.017743 -0.305130 -0.494069 -1.494881 -0.099237 0.635420 0.8085 0.5080 0.5974 1.611008 1.304308
2459829 digital_ok 0.00% 0.00% 0.00% 0.00% 75.82% 24.18% -1.302913 -1.946102 -0.213190 -0.145999 -0.946912 -1.381105 0.010411 0.226938 0.7470 0.6386 0.4364 1.107111 1.097755
2459828 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.121534 -0.484507 0.000406 -0.002064 -0.852459 -0.659971 -0.503141 0.544269 0.8069 0.5280 0.5694 1.564083 1.511696
2459827 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.739991 -0.925814 0.696019 -0.347990 -0.946302 -0.630504 -0.249709 0.353146 0.7559 0.6462 0.4379 1.181462 1.007180
2459826 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -0.811766 -0.257464 0.581237 -0.531394 -0.396553 -0.127391 -0.253233 0.043539 0.8037 0.5495 0.5430 1.588814 1.255100
2459825 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.098846 -0.044698 -0.177894 -0.259509 7.040850 7.142514 2.876601 3.396272 0.8028 0.5517 0.5457 7.504901 4.394251
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.586379 -1.056569 -0.192184 -0.399327 2.939382 2.915744 8.162274 9.383372 0.6964 0.6806 0.4023 6.088248 9.884213
2459823 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 11.11% -0.867705 -0.326409 0.456486 -0.327406 -0.181231 -1.447386 -0.382522 2.986091 0.7603 0.6057 0.5002 3.896885 3.923334
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.177077 -0.017193 0.400968 -0.130594 -1.079847 -0.722094 -0.322610 -0.566018 0.8073 0.5870 0.5403 2.016715 1.639668
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.036302 -0.029975 0.230015 -0.401505 -0.408663 -0.037015 -0.435555 0.661435 0.8057 0.6156 0.5199 2.302549 2.071164
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 1.07% -1.046968 -0.922258 0.361336 -0.360965 -2.092074 -1.427568 -0.497487 -0.521167 0.7779 0.6819 0.4222 1.854157 1.864958
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.146542 -0.077879 0.119103 -0.321906 -0.574420 -0.806012 1.333512 1.419123 0.8253 0.6826 0.5063 2.143179 2.213275
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.354149 0.154455 -0.033192 -0.209772 -0.721792 0.247160 -0.546220 3.128319 0.8531 0.6007 0.5895 1.650284 1.496155
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.864405 0.276897 -0.079984 -0.533033 -1.091927 -0.711156 -0.644913 0.924475 0.8153 0.6849 0.5157 2.329289 2.417322
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 29: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Power -0.300694 -0.907040 -0.915425 -0.599014 -0.300694 -1.634466 -1.106308 -1.248370 -0.484712

Antenna 29: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.831640 -1.042309 -0.687416 -0.568275 -0.383090 -1.220098 -0.597936 -0.873984 0.831640

Antenna 29: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 1.213943 -1.472619 -1.166606 -0.828184 -0.469056 -1.172327 -0.859490 -0.448487 1.213943

Antenna 29: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Power 0.595399 -1.412521 -1.382738 -0.248886 0.595399 -0.874043 -1.130891 -0.439635 0.410427

Antenna 29: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 1.464079 -0.686680 -1.341214 0.438232 0.366947 -0.887610 -0.483273 1.464079 -0.458959

Antenna 29: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.686894 -0.697674 -0.972473 0.497172 0.403197 -1.083069 -1.041920 0.686894 -0.670803

Antenna 29: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 1.396740 -1.340245 -1.112266 -0.028908 0.517005 -0.511786 -0.662527 -0.593781 1.396740

Antenna 29: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Power 1.947864 -0.860710 -0.690131 1.947864 0.802848 -1.251909 -0.998521 -0.159938 -0.821145

Antenna 29: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Power 2.915808 -0.142008 -0.171291 2.183905 2.915808 1.160371 -0.378829 -0.000174 -1.276890

Antenna 29: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Power 1.348406 -0.817807 -1.907807 1.348406 -0.676839 -0.507277 -1.115627 1.034000 -0.805076

Antenna 29: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 1.407028 -1.028568 -0.063971 -0.228702 -0.684512 0.102470 1.092477 -0.005085 1.407028

Antenna 29: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Shape 2.689893 0.669743 2.689893 0.611140 2.292778 -0.326158 1.145428 -0.032812 -0.679071

Antenna 29: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Shape 1.126279 0.139807 1.126279 -1.946161 -2.718100 0.570628 -0.132843 0.130120 -1.173133

Antenna 29: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.493605 0.053239 -0.041481 0.042784 0.493605 -1.044751 -1.092537 -1.131519 -1.584124

Antenna 29: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.078979 -0.897771 -1.148753 -0.273401 -0.237330 -0.520182 -0.880526 0.078979 -0.510224

Antenna 29: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Temporal Variability 2.126154 -0.465600 0.395066 -1.067630 0.090351 1.520710 2.126154 0.000775 0.194102

Antenna 29: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Variability 0.056241 -0.530946 -0.302187 -0.726958 -1.092007 0.056241 -0.087718 -0.004112 -0.496492

Antenna 29: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 29: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.882457 0.203120 0.267748 0.882457 0.254599 -0.718225 -1.208603 -0.883601 -0.820611

Antenna 29: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.635420 -1.446546 -0.414019 -0.017743 -0.305130 -0.494069 -1.494881 -0.099237 0.635420

Antenna 29: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.226938 -1.946102 -1.302913 -0.145999 -0.213190 -1.381105 -0.946912 0.226938 0.010411

Antenna 29: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.544269 -0.484507 -1.121534 -0.002064 0.000406 -0.659971 -0.852459 0.544269 -0.503141

Antenna 29: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.696019 -0.739991 -0.925814 0.696019 -0.347990 -0.946302 -0.630504 -0.249709 0.353146

Antenna 29: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.581237 -0.257464 -0.811766 -0.531394 0.581237 -0.127391 -0.396553 0.043539 -0.253233

Antenna 29: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Variability 7.142514 -0.044698 -1.098846 -0.259509 -0.177894 7.142514 7.040850 3.396272 2.876601

Antenna 29: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 9.383372 -0.586379 -1.056569 -0.192184 -0.399327 2.939382 2.915744 8.162274 9.383372

Antenna 29: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 2.986091 -0.326409 -0.867705 -0.327406 0.456486 -1.447386 -0.181231 2.986091 -0.382522

Antenna 29: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.400968 -1.177077 -0.017193 0.400968 -0.130594 -1.079847 -0.722094 -0.322610 -0.566018

Antenna 29: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.661435 -0.029975 -1.036302 -0.401505 0.230015 -0.037015 -0.408663 0.661435 -0.435555

Antenna 29: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok ee Power 0.361336 -1.046968 -0.922258 0.361336 -0.360965 -2.092074 -1.427568 -0.497487 -0.521167

Antenna 29: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 1.419123 -1.146542 -0.077879 0.119103 -0.321906 -0.574420 -0.806012 1.333512 1.419123

Antenna 29: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 3.128319 0.154455 -0.354149 -0.209772 -0.033192 0.247160 -0.721792 3.128319 -0.546220

Antenna 29: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Temporal Discontinuties 0.924475 0.276897 -0.864405 -0.533033 -0.079984 -0.711156 -1.091927 0.924475 -0.644913

Antenna 29: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 29: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
29 N01 digital_ok nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: